1 code implementation • 17 Nov 2019 • Ron Levie, Çağkan Yapar, Gitta Kutyniok, Giuseppe Caire
In this paper we propose a highly efficient and very accurate deep learning method for estimating the propagation pathloss from a point $x$ (transmitter location) to any point $y$ on a planar domain.
1 code implementation • 23 Jun 2021 • Çağkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Global Navigation Satellite Systems typically perform poorly in urban environments, where the likelihood of line-of-sight conditions between devices and satellites is low.
1 code implementation • 1 Feb 2022 • Çağkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
We present LocUNet: A deep learning method for localization, based merely on Received Signal Strength (RSS) from Base Stations (BSs), which does not require any increase in computation complexity at the user devices with respect to the device standard operations, unlike methods that rely on time of arrival or angle of arrival information.
1 code implementation • 18 Nov 2022 • Çağkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
In this article, we present a collection of radio map datasets in dense urban setting, which we generated and made publicly available.
2 code implementations • 7 Dec 2020 • Samim Ahmadi, Jan Christian Hauffen, Linh Kästner, Peter Jung, Giuseppe Caire, Mathias Ziegler
More precisely, we show the benefits of using a learned block iterative shrinkage thresholding algorithm that is able to learn the choice of regularization parameters.
no code implementations • 11 Jan 2018 • Saeid Haghighatshoar, Mahdi Barzegar Khalilsarai, Giuseppe Caire
In this paper, we show that although this effect is generally negligible for a small number of antennas $M$, it results in a considerable distortion of the covariance matrix and especially its dominant signal subspace in the massive MIMO regime where $M \to \infty$, and can generally incur a serious degradation of the performance especially in frequency division duplexing (FDD) massive MIMO systems where the uplink (UL) and the downlink (DL) communication occur over different frequency bands.
no code implementations • 30 Jan 2017 • Saeid Haghighatshoar, Giuseppe Caire
In this paper, we study the recovery of a signal from a set of noisy linear projections (measurements), when such projections are unlabeled, that is, the correspondence between the measurements and the set of projection vectors (i. e., the rows of the measurement matrix) is not known a priori.
no code implementations • 9 May 2017 • Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire, Gerhard Wunder
To design such a blind predictor, we use the random spectral representation of a stationary Gaussian process.
no code implementations • 24 Sep 2015 • Saeid Haghighatshoar, Giuseppe Caire
Massive MIMO is a variant of multiuser MIMO where the number of base-station antennas $M$ is very large (typically 100), and generally much larger than the number of spatially multiplexed data streams (typically 10).
no code implementations • 31 Oct 2018 • Saeid Haghighatshoar, Giuseppe Caire
Although there is a vast literature on the analysis of MMV, it is not yet fully known how the number of signal samples and their statistical correlations affects the performance of the joint estimation in MMV.
no code implementations • 30 Oct 2019 • Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire
The modern literature on massive MIMO has recognized that the knowledge of covariance matrix of user channel vectors is very useful for various applications such as hybrid digital analog beamforming, pilot decontamination, etc.
no code implementations • 9 Jun 2020 • Çağkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Using the approximations of the pathloss functions of all base stations and the reported signal strengths, we are able to extract a very accurate approximation of the location of the user.
no code implementations • 13 Oct 2020 • Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
Based on the proposed novel approach of \emph{cache-aided interference alignment (CIA)}, first, for the MuPIR problem with $K=2$ messages, $K_{\rm u}=2$ users and $N\ge 2$ databases, we propose achievable retrieval schemes for both uncoded and general cache placement.
no code implementations • 24 Oct 2020 • Linh Kästner, Samim Ahmadi, Florian Jonietz, Mathias Ziegler, Peter Jung, Giuseppe Caire, Jens Lambrecht
Spot welding is a crucial process step in various industries.
no code implementations • 18 Nov 2020 • Osman Musa, Peter Jung, Giuseppe Caire
source prior.
no code implementations • 17 Sep 2020 • Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe
The second scenario considers narrow angular beams to send information streams individually to the already detected users and simultaneously keep tracking of their respective parameters.
no code implementations • 28 Dec 2020 • Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire
Coded Caching, proposed by Maddah-Ali and Niesen (MAN), has the potential to reduce network traffic by pre-storing content in the users' local memories when the network is underutilized and transmitting coded multicast messages that simultaneously benefit many users at once during peak-hour times.
Information Theory Information Theory
no code implementations • 8 Dec 2020 • Minquan Cheng, Dequan Liang, Kai Wan, Mingming Zhang, Giuseppe Caire
Applying the transformation approach to the well-known shared-link coded caching scheme proposed by Maddah-Ali and Niesen, we obtain a new multiaccess coded caching scheme that achieves the same load as the scheme of Hachem et al. but for any system parameters.
Information Theory Information Theory
no code implementations • 13 Jan 2021 • Michail Palaiologos, Jian Luo, Richard A. Stirling-Gallacher, Giuseppe Caire
Vehicular communication systems have been an active subject of research for many years and are important technologies in the 5G and the post-5G era.
Autonomous Driving Information Theory Signal Processing Information Theory
no code implementations • 1 Feb 2021 • Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
Then we focus on the case where the computation cost of each server is minimum and aim to minimize the size of the randomness variable introduced in the system while achieving the optimal communication cost.
Information Theory Information Theory
no code implementations • 2 Feb 2021 • Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
This paper considers the MuPIR problem with two messages, arbitrary number of users and databases where uncoded prefetching is assumed, i. e., the users directly copy some bits from the library as their cached contents.
no code implementations • 29 Sep 2021 • Meysam Goodarzi, Vladica Sark, Nebojsa Maletic, Jesús Gutiérrez, Giuseppe Caire, Eckhard Grass
In particular, DePF deploys an asymmetric time-stamp exchange mechanism between the MUs and the Access Points (APs), which, traditionally, provides us with information about the MUs' clock offset and skew.
no code implementations • 19 Nov 2021 • Zhen Du, Fan Liu, Weijie Yuan, Christos Masouros, Zenghui Zhang, Shuqiang Xia, Giuseppe Caire
The first stage is exploited for ISAC transmission, where a wide beam is adopted for both communication and sensing.
no code implementations • 8 Feb 2022 • Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
We propose SwiftAgg, a novel secure aggregation protocol for federated learning systems, where a central server aggregates local models of $N$ distributed users, each of size $L$, trained on their local data, in a privacy-preserving manner.
no code implementations • 24 Mar 2022 • Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
We propose SwiftAgg+, a novel secure aggregation protocol for federated learning systems, where a central server aggregates local models of $N \in \mathbb{N}$ distributed users, each of size $L \in \mathbb{N}$, trained on their local data, in a privacy-preserving manner.
no code implementations • 29 Mar 2022 • Fernando Pedraza, Saeid K. Dehkordi, Mari Kobayashi, Giuseppe Caire
In this paper, we develop a beam tracking scheme for an orthogonal frequency division multiplexing (OFDM) Integrated Sensing and Communication (ISAC) system with a hybrid digital analog (HDA) architecture operating in the millimeter wave (mmWave) band.
no code implementations • 12 Jul 2022 • Saeid K. Dehkordi, Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe
Under this setup, we propose a likelihood function-based scheme to perform joint target detection and parameter estimation in Discovery, and high-resolution parameter estimation in Tracking mode, respectively.
no code implementations • 9 Oct 2022 • Saeid K. Dehkordi, Giuseppe Caire
In this paper, we develop an active sensing strategy for a millimeter wave (mmWave) band Integrated Sensing and Communication (ISAC) system adopting a realistic hybrid digital-analog (HDA) architecture.
no code implementations • 31 Oct 2022 • Krishan K. Tiwari, Giuseppe Caire
For a given AMAF aperture, the optimal AMAF-RIS distance increases as a function of the RIS size.
no code implementations • 28 Nov 2022 • Çağkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire
In this paper, we study the localization problem in dense urban settings.
no code implementations • 14 Feb 2023 • Michail Palaiologos, Mario H. Castãneda García, Anastasios Kakkavas, Richard A. Stirling-Gallacher, Giuseppe Caire
To that end, the joint design of nonuniform Tx and Rx arrays towards maximizing the minimum capacity of a LoS MIMO system across a range of transmit distances is investigated in this paper.
no code implementations • 20 Feb 2023 • Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Giuseppe Caire
In this paper, we propose ByzSecAgg, an efficient secure aggregation scheme for federated learning that is protected against Byzantine attacks and privacy leakages.
no code implementations • IEEE VTC 2022 • Krishan Kumar Tiwari, Giuseppe Caire
We consider array antenna elements with non-zero aperture and axisymmetric radiation pattern with a certain directivity, unlike the ideal isotropic antenna elements widely considered in theoretical papers on array processing and RF beamforming.
no code implementations • 4 Apr 2023 • Florian Muhr, Lorenzo Zaniboni, Saeid K. Dehkordi, Fernando Pedraza Nieto, Giuseppe Caire
In a typical communication system, in order to maintain a desired SNR level, initial beam alignment (BA) must be established prior to data transmission.
no code implementations • 31 Jul 2023 • Krishan Kumar Tiwari, Giuseppe Caire
Furthermore, the behavior of the power transmission coefficient is more sensitive to the $F/D$ ratio than to a particular RIS size.
no code implementations • 16 Aug 2023 • Fernando Pedraza, Saeid K. Dehkordi, Jan C. Hauffen, Shuangyang Li, Peter Jung, Giuseppe Caire
We investigate radar parameter estimation and beam tracking with a hybrid digital-analog (HDA) architecture in a multi-block measurement framework using an extended target model.
no code implementations • 26 Sep 2023 • Saeid K. Dehkordi, Lorenzo Pucci, Peter Jung, Andrea Giorgetti, Enrico Paolini, Giuseppe Caire
The proposed parameter estimation in this work consists of a two-stage estimation process, where the first stage is based on far-field assumptions, and is used to obtain a first estimate of the target parameters.
no code implementations • 11 Oct 2023 • Çağkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
To foster research and facilitate fair comparisons among recently proposed pathloss radio map prediction methods, we have launched the ICASSP 2023 First Pathloss Radio Map Prediction Challenge.
no code implementations • 26 Nov 2023 • Weijie Yuan, Lin Zhou, Saeid K. Dehkordi, Shuangyang Li, Pingzhi Fan, Giuseppe Caire, H. Vincent Poor
The recently proposed Orthogonal Time Frequency Space (OTFS) modulation, which exploits various advantages of Delay Doppler (DD) channels, has been shown to support reliable communication in high-mobility scenarios.
no code implementations • 30 Nov 2023 • Krishan Kumar Tiwari, Giuseppe Caire
We present a novel, power- & hardware-efficient, multiuser, multibeam RIS (Reflective Intelligent Surface) architecture for multiuser MIMO, especially for very high frequency bands (e. g., high mmWave and sub-THz), where channels are typically sparse in the beamspace and LOS is the dominant component.
no code implementations • 12 Jan 2024 • Fabian Jaensch, Giuseppe Caire, Begüm Demir
Over the last years, several works have explored the application of deep learning algorithms to determine the large-scale signal fading (also referred to as ``path loss'') between transmitter and receiver pairs in urban communication networks.
no code implementations • 14 Feb 2024 • Kai Wu, Jacopo Pegoraro, Francesca Meneghello, J. Andrew Zhang, Jesus O. Lacruz, Joerg Widmer, Francesco Restuccia, Michele Rossi, Xiaojing Huang, Daqing Zhang, Giuseppe Caire, Y. Jay Guo
Integrated Sensing and Communications (ISAC) has been identified as a pillar usage scenario for the impending 6G era.